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CVE-2025-23324: NVIDIA Triton Inference Server Integer Overflow Vulnerability

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Overview

A newly identified vulnerability, CVE-2025-23324, poses a significant risk to both Linux and Windows users of NVIDIA Triton Inference Server. This vulnerability can allow a user to cause an integer overflow, leading to a segmentation fault through an invalid request. The exploitation of this vulnerability could compromise the system and possibly lead to data leakage.

Vulnerability Summary

CVE ID: CVE-2025-23324
Severity: High (CVSS: 7.5)
Attack Vector: Network
Privileges Required: Low
User Interaction: None
Impact: System compromise and potential data leakage

Affected Products

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Product | Affected Versions

NVIDIA Triton Inference Server for Windows | All versions prior to the vendor patch
NVIDIA Triton Inference Server for Linux | All versions prior to the vendor patch

How the Exploit Works

The vulnerability arises from an integer overflow or wraparound in the NVIDIA Triton Inference Server. By crafting and sending an invalid request to the server, an attacker can trigger the overflow, leading to a segmentation fault. This, in turn, can cause the server to crash, leading to a potential denial of service. If exploited successfully, this vulnerability could lead to system compromise and possible data leakage.

Conceptual Example Code

Here is a conceptual example showing how a malicious actor might exploit this vulnerability. It involves sending a specially crafted JSON payload to the server that triggers the integer overflow.

POST /vulnerable/endpoint HTTP/1.1
Host: target.example.com
Content-Type: application/json
{ "malicious_payload": "large number triggering integer overflow..." }

Please note that this is a conceptual example and the actual exploit could vary based on the specific configuration of the NVIDIA Triton Inference Server. It is strongly advised to apply the vendor’s patch or use a Web Application Firewall (WAF) or Intrusion Detection System (IDS) as a temporary mitigation to prevent potential exploitation of this vulnerability.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.

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